An EEG-based brain-computer system for
automating home appliances is proposed in this study.
Brain-computer interface (BCI) system provides direct
pathway between human brain and external computing
resources or external devices. The system translates thought
into action without using muscles through a number of
electrodes attached to the user’s scalp. The BCI technology
can be used by disabled people to improve their
independence and maximize their capabilities at home. In
this paper, a novel BCI system was developed to control
home appliances from a dedicated Graphical User Interface
(GUI). The system is structured with six units: EMOTIV
EPOC headset, personal computer, Flyport module, quad
band GSM/GPRS communication module, LinkSprite
JPEG Colour camera, and PIC-P40 board. EMOTIV EPOC
headset detects and records neuronal electrical activities
that reflect user’s intent from different locations on the
scalp. Those activities are then sent to the computer to
extract specific signal features. Those features are then
translated into commands to operate all appliances at home.
The proposed system has been implemented, constructed,
and tested. Experimental results demonstrates the feasibility
of our proposed BCI system in controlling home appliances
based on the user’s physiological states.